iPhone 12 Mini
Geekbench AI Score
2581
Single Precision Score
4474
Half Precision Score
3684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.4 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2044
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
9607
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8676
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
97% |
2122
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1543
123.0 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2505
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4499
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8592
66.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6166
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12374
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21114
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18141
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3048
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3581
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4053
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4050
70.0 IPS |
